Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (2): 79-91    DOI: 10.1631/jzus.C0910377
    
Computer vision based eyewear selector
Oscar DÉNIZ*,1,2 , Modesto CASTRILLÓN1, Javier LORENZO1, Luis ANTÓN1,Mario HERNANDEZ1, Gloria BUENO2
1 Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico 35017 Las Palmas, Spain 2 E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Avda. Camilo José Cela, s/n 13071 Ciudad Real, Spain
Computer vision based eyewear selector
Oscar DéNIZ*,1,2 , Modesto CASTRILLóN1, Javier LORENZO1, Luis ANTóN1,Mario HERNANDEZ1, Gloria BUENO2
1 Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico 35017 Las Palmas, Spain 2 E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Avda. Camilo José Cela, s/n 13071 Ciudad Real, Spain
 全文: PDF(1850 KB)  
摘要： The widespread availability of portable computing power and inexpensive digital cameras are opening up new possibilities for retailers in some markets. One example is in optical shops, where a number of systems exist that facilitate eyeglasses selection. These systems are now more necessary as the market is saturated with an increasingly complex array of lenses, frames, coatings, tints, photochromic and polarizing treatments, etc. Research challenges encompass Computer Vision, Multimedia and Human-Computer Interaction. Cost factors are also of importance for widespread product acceptance. This paper describes a low-cost system that allows the user to visualize different glasses models in live video. The user can also move the glasses to adjust its position on the face. The system, which runs at 9.5 frames/s on general-purpose hardware, has a homeostatic module that keeps image parameters controlled. This is achieved by using a camera with motorized zoom, iris, white balance, etc. This feature can be specially useful in environments with changing illumination and shadows, like in an optical shop. The system also includes a face and eye detection module and a glasses management module.
关键词： Face detection;  Eye detection;  Perceptual user interfaces;  Human-computer interaction    
Abstract: The widespread availability of portable computing power and inexpensive digital cameras are opening up new possibilities for retailers in some markets. One example is in optical shops, where a number of systems exist that facilitate eyeglasses selection. These systems are now more necessary as the market is saturated with an increasingly complex array of lenses, frames, coatings, tints, photochromic and polarizing treatments, etc. Research challenges encompass Computer Vision, Multimedia and Human-Computer Interaction. Cost factors are also of importance for widespread product acceptance. This paper describes a low-cost system that allows the user to visualize different glasses models in live video. The user can also move the glasses to adjust its position on the face. The system, which runs at 9.5 frames/s on general-purpose hardware, has a homeostatic module that keeps image parameters controlled. This is achieved by using a camera with motorized zoom, iris, white balance, etc. This feature can be specially useful in environments with changing illumination and shadows, like in an optical shop. The system also includes a face and eye detection module and a glasses management module.
Key words: Face detection    Eye detection    Perceptual user interfaces    Human-computer interaction
收稿日期: 2009-06-26 出版日期: 2010-01-01
CLC:  TP391.4  
通讯作者: Oscar DÉNIZ     E-mail: Oscar.Deniz@uclm.es
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
Oscar DéNIZ
Modesto CASTRILLóN
Javier LORENZO
Luis ANTóN
Mario HERNANDEZ
Gloria BUENO

引用本文:

Oscar DÉNIZ, Modesto CASTRILLÓN, Javier LORENZO, Luis ANTÓN, Mario HERNANDEZ, Gloria BUENO. Computer vision based eyewear selector. Front. Inform. Technol. Electron. Eng., 2010, 11(2): 79-91.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910377    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I2/79

[1] Yuan-ping Nie, Yi Han, Jiu-ming Huang, Bo Jiao, Ai-ping Li. 基于注意机制编码解码模型的答案选择方法[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(4): 535-544.
[2] Rong-Feng Zhang , Ting Deng , Gui-Hong Wang , Jing-Lun Shi , Quan-Sheng Guan . 基于可靠特征点分配算法的鲁棒性跟踪框架[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(4): 545-558.
[3] Yue-ting Zhuang, Fei Wu, Chun Chen, Yun-he Pan. 挑战与希望：AI2.0时代从大数据到知识[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(1): 3-14.
[4] Le-kui Zhou, Si-liang Tang, Jun Xiao, Fei Wu, Yue-ting Zhuang. 基于众包标签数据深度学习的命名实体消歧算法[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(1): 97-106.
[5] M. F. Kazemi, M. A. Pourmina, A. H. Mazinan. 图像水印框架的层级-方向分解分析[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(11): 1199-1217.
[6] Guang-hui Song, Xiao-gang Jin, Gen-lang Chen, Yan Nie. 基于两级层次特征学习的图像分类方法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(9): 897-906.
[7] Jia-yin Song, Wen-long Song, Jian-ping Huang, Liang-kuan Zhu. 基于边界分析的森林冠层半球图像中心点定位与分割[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(8): 741-749.
[8] Gao-li Sang, Hu Chen, Ge Huang, Qi-jun Zhao. 基于稠密多变量标签的“连续”头部姿态估计方法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(6): 516-526.
[9] Xi-chuan Zhou, Fang Tang, Qin Li, Sheng-dong Hu, Guo-jun Li, Yun-jian Jia, Xin-ke Li, Yu-jie Feng. 基于多维尺度拉普拉斯分析方法的全球流感疫情监测[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(5): 413-421.
[10] Chu-hua Huang, Dong-ming Lu, Chang-yu Diao. 基于多尺度轮廓插值生成准密集时变点云模型序列[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(5): 422-434.
[11] Xiao-hu Ma, Meng Yang, Zhao Zhang. 局部不相关的局部判别嵌入人脸识别算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(3): 212-223.
[12] Fu-xiang Lu, Jun Huang. 超越隐主题包模型：针对场景类别识别的空间金字塔匹配[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(10): 817-828.
[13] Yu Liu, Bo Zhu. 带有几何形变的变形图像配准[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(10): 829-837.
[14] Zheng-wei Huang, Wen-tao Xue, Qi-rong Mao. 基于无监督特征学习的语音情感识别方法[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(5): 358-366.
[15] Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye. 基于高清监控图像的工程车辆检测算法[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(5): 346-357.